2021 International Congress of Advanced Technology and Engineering (ICOTEN)最新文献_第10页

Aspect-Based Sentiment Analysis for Posts on Friday Prayer During MCO in Malaysia 马来西亚MCO期间周五祷告帖子的面向情感分析

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493449

Roziyani Setik, R. M. T. R. L. Ahmad, S. Marjudi

{"title":"Aspect-Based Sentiment Analysis for Posts on Friday Prayer During MCO in Malaysia","authors":"Roziyani Setik, R. M. T. R. L. Ahmad, S. Marjudi","doi":"10.1109/ICOTEN52080.2021.9493449","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493449","url":null,"abstract":"Analysis of sentiment (or opinion mining) is a technique used to determine whether a polarity of data has become positive, negative, or neutral. It studies the opinions, feelings, emotions, and stances of people using an algorithmic process that understands the opinions of a particular topic based on the methodology of Natural Language Processing (NLP). It has gained popularity in recent years and it has played a vital role in a variety of fields, such as online product reviews and social media analysis (Twitter, Facebook, etc.). This paper presents the findings of a research conducted to investigate people’s sentiment toward a government decision that temporarily suspending Friday prayers in all the mosques, as a response to the pandemic of COVID-19 in the country, due to The Malaysia Movement Control Order (MCO) 1.0 as a precautionary measure. A collection of tweets were crawled based on the #solatjumaat hashtag, then it was grouped into one corpus as a new dataset for further text preprocessing and sentiment analysis process. It applies a Python language with an adaption of Malaya, a Natural-Language-Toolkit library created especially for text in Malay Language verse for the treatment techniques. A visualization of the outcome will illustrate the finding of people's feelings for this study.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116074510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Diet & Exercise Classification using Machine Learning to Predict Obese Patient’s Weight Loss 使用机器学习的饮食和运动分类来预测肥胖患者的体重减轻

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493560

Kawser Ahmed Pinto, N. L. Abdullah, Pantea Keikhosrokiani

{"title":"Diet & Exercise Classification using Machine Learning to Predict Obese Patient’s Weight Loss","authors":"Kawser Ahmed Pinto, N. L. Abdullah, Pantea Keikhosrokiani","doi":"10.1109/ICOTEN52080.2021.9493560","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493560","url":null,"abstract":"Obesity-related diseases such as coronary heart disease, stroke, respiratory disorders, etc. has steadily risen in the world over the last decades. Various studies related to obesity have been done; however, there is still a need to predict the possibility of losing obese patient’s weight based on history of his/her diet and exercise data. Therefore, this study use an obese patient as the case study. Diet and exercise data was collected using Smartwatch. This study classifies the obese patient’s level of possibility to lose weight to high (Good health), medium (Normal) and low (Poor health) from the patient's diet and exercise data. Machine learning techniques such as k-nearest neighbour and decision tree are used in this study to classify the diet and exercise data and find out the level of possibility to reduce weight. Analysis of this study shows that the decision tree provides the best accuracy for diet and exercise data where it is recorded 71.54% and 63.63% respectively. On the other hand, k-nearest neighbour shows the accuracy of 65.85% for diet and 69.32% for exercise data. The prediction results of this study can be used by the doctors and physicians to provide better advice and prescription for the obese patients.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123262657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Infrastructure Sharing and Quality of Service for Telecommunication Companies in Yemen 也门电信公司的基础设施共享和服务质量

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493485

Abdu Saif, A. Alashwal, Qazwan Abdullah (غزوان عبد الله محمد طربوش), S. Alsamhi, Ali Abdulbaqi Ameen, A. Salh

引用次数: 4

Machine Learning Algorithm Model for Improving Business Decisions Making in Upstream Oil & Gas 改进上游油气业务决策的机器学习算法模型

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493499

Mohd Soufhwee Abd Rahman, N. Jamaludin, Zuraini Zainol, T. Sembok

引用次数: 4

Voice-Based Deep Learning Medical Diagnosis System for Parkinson's Disease Prediction 基于语音的帕金森病预测深度学习医学诊断系统

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493456

Asmae Ouhmida, O. Terrada, A. Raihani, B. Cherradi, S. Hamida

引用次数: 10

Performance Enhancement and Size Reduction of Vivaldi Antenna Using Defected Ground Structure for Active Phased Array Radar Applications 有源相控阵雷达中采用缺陷接地结构的维瓦尔第天线的性能增强和尺寸减小

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493557

Hamza Abbas Kiani, Channa Babar Ali, Syed Jehad Ali Shah, Mohammad Zubair Khan, Abdulfattah Noorwali, Syed Aziz Shah

{"title":"Performance Enhancement and Size Reduction of Vivaldi Antenna Using Defected Ground Structure for Active Phased Array Radar Applications","authors":"Hamza Abbas Kiani, Channa Babar Ali, Syed Jehad Ali Shah, Mohammad Zubair Khan, Abdulfattah Noorwali, Syed Aziz Shah","doi":"10.1109/ICOTEN52080.2021.9493557","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493557","url":null,"abstract":"Wideband performance and size reduction of antennas are ostensible requirements of Wireless and Active Phased Array Radar Applications. The proposed paper aims to reduce the size of Planar Vivaldi Antennas to address these challenges by introducing defects in the ground plane of the antenna. The size of the Conventional Vivaldi Antenna specifically the width is reduced to 50% with the insertion of Defected Ground Structure (DGS). The effect of DGS was evaluated with the aid of four rectangular slots inserted on the two ground planes of the antenna (two on each ground plane). Optimal performance was achieved when these slots were inserted on the outer edges of the ground planes. Simulated results showed that the proposed Vivaldi Antenna offers 100% improvement in the impedance bandwidth even with the reduced size. Similarly, the proposed antenna offers an improved gain of 8 dB instead of 5 dB achieved from the basic model. The proposed Vivaldi antenna can easily be integrated with a stripline feed network for achieving wide bandwidth and narrow beam-width for radar and communication applications.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126412982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Callus Induction Using Different Plant Hormone and Light Condition 不同植物激素和光照条件下愈伤组织诱导的优化

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493484

Siti Zulaiha Ghazali, S. Hashim, N. N. Rodzali, Siti Nur Azmu’i Abdullah, N. Muhammad, C. Tay, Sidik Norrizah Jaafar

{"title":"Optimization of Callus Induction Using Different Plant Hormone and Light Condition","authors":"Siti Zulaiha Ghazali, S. Hashim, N. N. Rodzali, Siti Nur Azmu’i Abdullah, N. Muhammad, C. Tay, Sidik Norrizah Jaafar","doi":"10.1109/ICOTEN52080.2021.9493484","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493484","url":null,"abstract":"Clinacanthus nutans is a well-known source for pharmaceutical drugs with most of the active ingredients classified as secondary metabolites. The study objectives are to explore the effect addition of different plant hormones alone or by combinations in the MS plant growth medium and factor of light sources towards induction of callus via in vitro culture. In this study, nodal explant of C. nutans was cultured on Murashige and Skoog Medium (MS) supplemented with different concentrations of Naphthaleneacetic acid (NAA) (0.5, 1.0, 1.5, and 2.0 mg/L) and 2,4-Dichlorophenoxyacetic acid (2,4-D) (0, 1, 2, 3 and 4 mg/L) at dark and light conditions. In hormone combination treatments, study was conducted with addition on same concentration of NAA and BAP in MS medium. Study with single hormone in MS medium resulted that only NAA had successfully induced callus at both light and dark conditions. Highest friable callus produced is at MS + 1.5 mg/L NAA in dark as 100% callus induced with 1.470 ± 0.225 g fresh weight. Next, study on the effect of NAA + BAP combinations in MS medium resulted that the treatment induced compact callus formation in both light and dark condition. The highest number of callus produced is in treatment of MS + NAA (0.1 mg/L) + BAP (0.1 mg/L) with 0.569 ± 0.159 callus fresh weight. To conclude single treatment callus 1.5 mg/L NAA alone at dark condition was best to produce friable and proliferative callus.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127371909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Futuristic Hybrid Image Enhancement Using Fuzzy and Cubic Interpolation Methods 未来混合图像增强使用模糊和三次插值方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493446

Mukesh Pandey

引用次数: 0

Computer-Aided Diagnosis System for Early Prediction of Atherosclerosis using Machine Learning and K-fold cross-validation 基于机器学习和K-fold交叉验证的动脉粥样硬化早期预测计算机辅助诊断系统

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493524

B. Cherradi, O. Terrada, Asmae Ouhmida, S. Hamida, A. Raihani, O. Bouattane

{"title":"Computer-Aided Diagnosis System for Early Prediction of Atherosclerosis using Machine Learning and K-fold cross-validation","authors":"B. Cherradi, O. Terrada, Asmae Ouhmida, S. Hamida, A. Raihani, O. Bouattane","doi":"10.1109/ICOTEN52080.2021.9493524","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493524","url":null,"abstract":"Atherosclerosis known as coronary artery disease (CAD) becomes epidemic in any society that relies on an industrial-technological system with an associated behavioral alteration in people's lifestyles as junk food consumerism and stressful habits. However, this disease residue the first cause of death in industrialized countries, despite many new therapeutic approaches and risk factors prevention. Moreover, atherosclerosis misdiagnosis has side costly effects. In this paper, we have proposed a computer-aided diagnosis system based on K-Nearest Neighbors (KNN) and Artificial Neural Network (ANN) algorithms. Then, we applied K-fold cross-validation in order to split the databases and reach the best model with the higher accuracy and fewer side effects. In this proposed work, we tested the reached model on 573 patients with several effective features which collecting from Cleveland and Z-Alizadeh Sani datasets. Then Area Under the Curve (AUC), F1-Score, and accuracy were used to enrich and determine the effectiveness of each predictive model. Using Machine Learning (ML) methods, K-fold cross-validation, and performance evaluation metrics, 96.78% average accuracy is achieved with the original training accuracy of 100%, which means the prediction system is obtained as the best predictive model comparing to the previous studies.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116714773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

JPEG Image Compression Using Multiple Core Strategy in FPGA achieving High Peak Signal to Noise Ratios 在FPGA中使用多核策略实现峰值信噪比的JPEG图像压缩

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493460

Umar Anjum, Ahmed Hussain, Channa Babar Ali, Umer Afzal, Israr Hussain, Abdulfattah Noorwali, Syed Aziz Shah

{"title":"JPEG Image Compression Using Multiple Core Strategy in FPGA achieving High Peak Signal to Noise Ratios","authors":"Umar Anjum, Ahmed Hussain, Channa Babar Ali, Umer Afzal, Israr Hussain, Abdulfattah Noorwali, Syed Aziz Shah","doi":"10.1109/ICOTEN52080.2021.9493460","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493460","url":null,"abstract":"Field Programmable Gate Arrays are increasingly becoming an integral part of modern embedded system designs because of their ease of implementation, flexibility and unparalleled processing power capability. Taking into consideration these capabilities, a compression algorithm has been implemented on an FPGA (Xilinx Spartan 3A 3400 Kit) while the decompression part has been carried out on a Personal Computer (PC). The transmission between FPGA and PC has been done through Ethernet interfacing. Decompressor has been designed in MATLAB to decompress the data acquired through FPGA while the compression algorithm used is based on JPEG. Three different images have been considered for the test case purposes. Likewise, three resolutions of each image have been used for compression in FPGA and subsequent decompression using MATLAB in PC. Multiple cores strategy has been incorporated in the FPGA to speed up the compression process. The pictorial representation of each decompressed image viz-a-viz original image has been carried out. The Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) have been calculated for each set of resolution for comparing image compression quality. The graphical representation of Mean square Error for all resolutions of each image separately has been depicted.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0